机构地区: 同济大学
出 处: 《现代电子技术》 2010年第23期152-154,共3页
摘 要: 针对近地防撞系统被测目标的不确定性问题,根据DS证据理论,在分析数据融合过程的基础上,建立数据融合模型,结合模糊控制方法,得出红外和雷达两种探测器对各被测目标的信度函数分配以及融合后的信度函数分配,从而确定被测目标。单探测器与融合结果比较说明多传感器融合算法具有较高的准确性。该面向目标的数据融合算法,为实现飞机地面防撞系统的目标探测提供了理论基础。 A data fusion model is built to reduce the detected targets uncertainty in ground collision avoidance system based on Dempster-Shafer (DS) evidential theory and information fusion analysis. The belief function assignment of infrared receiver and radar detector to each target and also the fused belief function assignment can be obtained in combination with fuzzy control method so .that the detected target can be determined. The result obtained by the comparison between the single detector and fusion algorithm indicates that the multi-sensor fusion algorithm is much more accurate. The object-oriented data fusion algorithm can provide theoretical basis for ground collision avoidance system.